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1Department of Neurology and Psychiatry,
Sapienza University of Rome, Italy;
2Rheumatology Unit, Department of
Internal Medicine and Medical Specialties,
Sapienza University of Rome, Italy;
3Rheumatology Unit, Luigi Sacco
University Hospital, Milan, Italy;
4Athinoula A. Martinos Center for
Biomedical Imaging, Massachusetts
General Hospital, Boston, MA, and
Harvard Medical School, Boston,
MA, USA.
Andrea Truini, MD*
Emanuele Tinelli, MD*
Maria Chiara Gerardi, MD
Valentina Calistri, MD
Cristina Iannuccelli, MD
Silvia La Cesa, MD
Lorenzo Tarsitani, MD
Caterina Mainero, MD
Piercarlo Sarzi-Puttini, MD
Giorgio Cruccu, MD
Francesca Caramia, MD
Manuela Di Franco, MD
*These authors equally contributed
to the study.
Please address correspondence to:
Maria Chiara Gerardi, MD,
Rheumatology Unit,
Luigi Sacco University Hospital,
Via G.B. Grassi,
20157 Milan, Italy.
E-mail: mariachiara.gerardi@gmail.com
Received on February 13, 2016; accepted
in revised form on March 24, 2016.
Clin Exp Rheumatol 2016; 34 (Suppl. 96):
S129-S133.
© Copyright CLINICAL AND
EXPERIMENTAL RHEUMATOLOGY 2016.
Key words: bromyalgia,
magnetic resonance imaging,
periaqueductal grey, endogenous
pain modulatory system
Competing interests: none declared.
ABSTRACT
Objective. Emerging evidence associ-
ates chronic pain syndrome, such as
bromyalgia, with endogenous pain
modulatory system dysfunction, lead-
ing to an impaired descending pain
inhibition. In this study, using resting-
state functional magnetic resonance
imaging (fMRI), we aimed at seeking
possible functional connectivity chang-
es of the periaqueductal gray (PAG), a
brainstem area that belongs to the en-
dogenous pain modulatory system, in
patients with bromyalgia.
Methods. In 20 patients with bromy-
algia and 15 healthy subjects, we in-
vestigated PAG functional connectivity
using resting-state fMRI. We also ana-
lysed the correlation between clinical
variables, such as pain severity, disease
duration, and depressive personality
traits with PAG functional connectivity.
Results. Compared with control sub-
jects, we identied that patients with
bromyalgia had an increased PAG
connectivity with insula, anterior cin-
gulate cortex, and anterior prefrontal
cortex. The functional connectivity be-
tween PAG and the rostral ventral me-
dulla, however, was not concordantly
increased. PAG functional connectivity
correlated with pain severity, disease
duration, and the depressive personal-
ity trait rating.
Conclusion. Our fMRI study show-
ing abnormal resting state functional
connectivity of the PAG suggests that
patients with bromyalgia have an en-
dogenous pain modulatory system dys-
function, possibly causing an impaired
descending pain inhibition. This abnor-
mal PAG functioning might underlay the
chronic pain these patients suffer from.
Introduction
The pathophysiology of bromyal-
gia (FM) is still unclear (1, 2). Many
studies showing that as well as caus-
ing widespread pain and fatigue FM
causes sleep disturbances, mood disor-
ders, and neurocognitive impairment,
led some to postulate a central nervous
system dysfunction including pain ma-
trix hyperexcitability and endogenous
pain modulatory system abnormalities,
leading to an impaired descending pain
inhibition (3-9).
In a recent neurophysiological study,
we have showed that patients with FM
have signs of pain matrices hyperexcit-
ability (9), probably contributing to the
different symptoms patients with this
condition experience. However, in this
study we did not provide any informa-
tion on how FM pathophysiology in-
volves descending modulatory system
structures, such as the periaqueductal
gray (PAG). The PAG receives projec-
tions from the anterior cingulate cortex
and modulates pain perception through
brain stem structures, such as the Ros-
tral Ventral Medulla (RVM), which
directly sends inhibitory projections to
the nociceptive dorsal horn neurons of
the spinal cord (10). Given that PAG
modulates pain perception, an abnor-
mal PAG activity might underlie pain in
patients with FM (11, 12). Having more
information on the descending modula-
tory system function might be relevant
to the pharmacological treatment of
pain in this disease, lending a rational
support to the use of antidepressants.
Continuing our research activity into
the mechanisms underlying FM (9)
and the endogenous pain modulatory
system (11) in this clinical and neuro-
imaging study we sought possible PAG
abnormalities in patients with FM. To
do so, using functional magnetic reso-
nance imaging (fMRI), we have inves-
tigated the resting state functional con-
nectivity of PAG in 20 patients with
FM and in 15 healthy controls.
Abnormal resting state functional connectivity of the
periaqueductal grey in patients with bromyalgia
A. Truini1, E. Tinelli1, M.C. Gerardi2, V. Calistri1, C. Iannuccelli2, S. La Cesa1,
L. Tarsitani1, C. Mainero4, P. Sarzi-Puttini3, G. Cruccu1, F. Caramia1, M. Di Franco2
S-130
bnormal resting state in patients with bromyalgia ruini et al
Methods
Patients
We pro sp ec ti ve ly en ro ll ed 20 con se cu -
tive patients (19 F, 1 M; aged 28-67
years) referred to the Fibromyalgia
Clinic at the Rheumatology Unit, De-
partment of Internal Medicine and Med-
ical Specialties, Sapienza University of
Rome, and 15 healthy, matched subjects
(F 13, 2 M; aged 26-65 years). Inclu-
sion criteria for patients were: patients
aged >18 years; a medically conrmed
diagnosis of FM according both 1990
and 2010 American College of Rheu-
matology criteria (13-15) and willing-
ness to participate in the experimental
procedures. Exclusion criteria included
all autoimmune and rheumatic diseases,
other and additional pain sources (in-
cluding pain due to osteoarthritis) and
neurological and psychiatric diseases,
including major depression. None of the
participants was taking pain medication
potentially affecting the PAG connec-
tivity, such as antidepressants, opioids
or antiepileptics. Pregnancy was also
an exclusion criterion for both patients
and controls. The local Institutional Re-
view Board approved the study and all
patients and healthy volunteers gave in-
formed consent.
All patients underwent clinical exami-
nation at the Rheumatology Unit. The
Manual Tender Point Survey was used
to rate the severity of pain elicited by
palpating the 18 tender points dened
by the American College of Rheuma-
tology (16). We also collected the Zung
Self-Rating Depression (ZSDS) and
Anxiety Scales (ZSAS) (17, 18). We
used a visual analogue scale (VAS) for
assessing pain severity, at the time of
examination.
After the rheumatologic examination,
all the patients underwent MRI acqui-
sition at the Department of Neurol-
ogy and Psychiatry. They were asked
to avoid occasional (rescue) analgesic
drugs 72 hours prior to fMRI.
MRI acquisition and statistical
analysis
All subjects underwent anatomical and
functional scanning on a 3 Tesla Sie-
mens-Verio scanner in a single session
equipped with a 12 channel head-coil.
rs-fMRI data of bromyalgia patients
were compared to those of 15 aged
matched healthy controls. During the
resting-state, subjects were instructed
to keep their eyes closed and to remain
motionless and to not think of anything
in particular. To minimise motion arte-
facts, subjects lay supine with pillows
under the head, foam wedges at the
sides and a retaining strap. For each
subject images were obtained using
a interleaved double-echoTurbo Spin
Echo sequence proton density and T2-
weighted images (repetition time: 3320
ms, echo time: 10/103 ms, matrix: 384
× 384, eld of view: 220 mm, slice
thickness: 4 mm, gap: 1.2 mm, 50 axial
slices) and 3D T1-weighted MPRAGE
(repetition time: 2300 ms, echo time:
2.98 ms, inversion time: 900 ms, ip
angle: 9°, eld of view: 256 mm, 208
slices in the sagittal plane, 1 mm iso-
metric voxel). rs-fMRI study was per-
formed with single-shot EPI images
(repetition time: 3000 ms, echo time:
30 ms, ip angle: 90°, eld of view: 240
mm, 46 axial slices, thickness: 3 mm,
140 volumes).
A seed analysis approach was per-
formed to identify those voxels show-
ing functional signal time-courses
correlated with the PAG. Seeds were
manually selected in standard space
based on the anatomy; the right and left
PAG were selected as regions of inter-
est (peak MNI coordinates: left PAG=
-2; -28; -6; right PAG= 4; -28; -6, with
3 mm radius).
Functional data were processed us-
ing FSL as described previously (19),
including motion correction, spatial
smoothing with 5mm full width half
maximal Gaussian kernel, and a tem-
poral high-pass lter. MELODIC In-
dependent Component Analysis (ICA)
was performed in order to identify
and remove noisy components due to
scanner-related and physiological arte-
facts from the 4D fMRI data. Nonlinear
registration using FMRIB’s Nonlinear
Image Registration Tool (FNIRT) was
applied between the subject’s structural
and the standard space (the Montreal
Neurological Institute 2mm brain) (20).
Average time courses were extracted
from seeds using FSL’s feat query func-
tion. The pre-processed time series
were then tted with a linear model
consisting of a regressor representing
the extracted time courses. The spa-
tially normalised effect size and stand-
ard error volumes served as input to a
mixed effects group analysis in FSL
FEAT. The modeled group effect size
and standard error were then divided to
produce a volume whose voxels were
t scores, subsequently transformed to
Z scores. Within and between groups
comparisons of correlation effect size
were performed using one sample t-
test in each group and unpaired t-test
in patients versus controls. Images and
were thresholded using clusters deter-
mined by Z>3 (within group) and Z>2
(between group) and a corrected cluster
signicance threshold of p<0.05, in-
cluding at least 20 contiguous voxels.
We did not detect laterality differences
between the two seed used.
Results
In both healthy subjects and patients,
PAG showed positive functional con-
nectivity with brain structures related
to the endogenous pain modulatory
system and the pain matrices, such as
prefrontal cortex, insula, anterior cin-
gulate cortex (ACC) and RVM (Fig. 1;
Table I, II). Compared to the healthy
subjects, patients with FM had a PAG
increased connectivity with the ACC,
amygdala and insula but not with RVM
(Fig. 2; Table III).
Clinical-MRI correlation showed that
the disease duration correlated with the
connectivity between PAG and insula
and bilateral temporal poles (Z> 2.3,
corrected clusters p<0.05). The sever-
ity of pain elicited by pressing the ten-
der points correlated with the connec-
tivity between PAG and inferior frontal
gyrus, precuneus, insula and opercu-
lar cortex (Z> 2.3, corrected clusters
p<0.05). More specically, the longer
the duration and the higher the pain
scores, the higher the PAG functional
connectivity.
Depression as assessed with the ZSDS
correlated with the connectivity be-
tween PAG and opercular cortex, su-
perior frontal gyrus and supramar-
ginal gyrus (Z> 2.3, corrected clusters
p<0.05). More specically the higher
the depression rating scores, the lower
the PAG functional connectivity.
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bnormal resting state in patients with bromyalgia ruini et al
Discussion
Our clinical and neuroimaging study
in patients with FM showed an abnor-
mal PAG resting state functional con-
nectivity: while the PAG connectivity
with ACC is enhanced, that with RVM
is not concordantly increased. This un-
balanced PAG functional connectivity
might entail an impaired descending
pain inhibition, possibly underlying
pain in patients with FM.
To investigate mechanisms underlying
FM, a challenging task, we concentrat-
ed on PAG, being a converging brain
area for pain modulation and playing a
key role in the endogenous pain modu-
latory system (21). Several observa-
tions suggest that the descending pain
modulatory system dysfunction con-
tributes to the development of chronic
pain conditions such as headache and
low back pain (10, 22). To seek infor-
mation on PAG function in patients
with FM we have used resting-state
fMRI. This technique measures uc-
tuations in the blood oxygenation level
in the brain, thought to be representa-
tive of neuronal activity. Functional
connectivity measures the degree to
which two brain regions have synchro-
nous uctuations in activity over time;
regions with similar uctuations are
referred to as highly functionally con-
nected. Hence, the resting state fMRI
showing the PAG functional connectiv-
ity provides reliable information on the
endogenous pain modulatory system
and the brain areas functionally con-
nected with the PAG.
We found that patients with FM have
an increased PAG functional connec-
tivity with several pain-related brain
areas, such as the anterior cingulate
cortex, insula, and amygdala. We hy-
pothesise that the increased functional
connectivity between PAG and these
areas, including the ACC, presumably
reects the chronic pain these patients
were suffering from. This hypothesis
Fig. 1. Statistical maps of positive functional resting state connectivity with the PAG in (A) 20 bromyalgia patients and in (B) 15 age and gender matched
healthy controls. Statistical threshold corresponded to Z>3 and a correct cluster signicance of p<0.05.
Table I. Functional connectivity of PAG during resting state in 15 control subjects demon-
strating positive correlations between brain areas and PAG.
MNI
coordinates
x y z Z max
PAG and surrounding areas (midbrain, hypotalamus, 4 -28 -6 5.2
striatum, globus palludum, thalamus)
Paracingulate BA 8 4 32 40 5
R - Superior frontal gyrus BA 8 4 28 50 4.8
L - Cerebellum -10 -70 -28 4.8
R - Insula 36 20 -4 4.7
R - Cerebellum 20 -70 -38 4
L - Insula -40 0 -10 3.8
ACC 6 36 8 3.8
RVM 2 -38 -52 3.1
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bnormal resting state in patients with bromyalgia ruini et al
is in line with human studies showing
that the PAG activity increases during
pain (23), and this activation correlates
with the severity of pain (11). Our nd-
ings on an increased PAG functional
connectivity clash with two previous
fMRI resting state studies (8, 24) that
showed an overall reduction of rest-
ing state functional connectivity, and
more specically a hypo-connectivity
between PAG and insula and amyg-
dala. The contrasting results probably
reect the different sample sizes and
methodological approaches. One study
included only nine subjects and both
investigated the functional resting state
connectivity of multiple brain regions.
Conversely, in our study we included
twenty patients and selected a priori
the PAG as the region of interest in the
functional resting state analysis. Most
important our patients were not taking
any pain medication such as antide-
pressant, drug potentially affecting the
PAG connectivity.
Unexpectedly, the increased functional
connectivity between PAG and ACC
was not paralleled by a similar increase
of functional connectivity between PAG
and RVM. In normal conditions the in-
creased functional connectivity between
PA G a n d A CC i s f o ll ow e d b y a c o he r-
ent increased connectivity with RVM,
according to a top-down modulation
mechanism (25). This unbalanced PAG
functional connectivity might imply a
descending modulatory system decit.
This decit prevents the activation of
inhibitory projections to the nociceptive
dorsal horn neurons of the spinal cord.
When we analysed the clinical-fMRI
correlations we found that the resting
state functional connectivity between
PAG and the pain-related brain areas,
such as the insula, correlated with the
duration of disease and the pain se-
verity. This nding agrees with pre-
vious observations (26) and supports
the hypothesis that FM-related pain is
directly associated with altered brain
function, more specically the more
severe the disease in terms of duration
and pain severity, the more the resting
state abnormalities. We also found that
the functional connectivity between
PAG and opercular cortex, superior
frontal gyrus and supramarginal gyrus
inversely correlated with depression,
as assessed with the ZSDS. This nd-
ing is in line with a previous study (24)
and might indicate that in patients with
FM the depressive trait directly affects
pain related brain areas. This hypoth-
esis supports the common knowledge
that pain and psychiatric disturbances
are closely related (24-26).
Our study has some limitations. Admit-
tedly, the abnormalities of PAG func-
tional connectivity might merely rep-
resent the consequence, rather than the
cause, of the chronic nociceptive input.
We consider this interpretation unlikely,
however, given that we found a pecu-
liar abnormality such as an unbalanced
PAG functional connectivity, namely a
relative reduction of functional connec-
tivity between the PAG and the RVM.
Hence, we hypothesise that the PAG
functional connectivity we describe in
Table II. Functional connectivity of PAG during resting state in 20 bromyalgia patients
demonstrating positive correlations between brain areas and PAG.
MNI
coordinates
x y z Z max
PAG and surrounding areas (midbrain, hypotalamus, -2 -28 -6 5.4
striatum, globus palludum, thalamus)
Precuneous -2 52 52 4.5
L - Amygdala -28 0 -20 4.2
PCC 2 -42 38 4.1
R - Superior parietal lobule BA7 32 -44 42 4
ACC 2 20 20 4
R- Cerebellum 30 -52 -39 4
R - Frontal pole BA 10 36 46 24 4
L - Insula -38 6 -2 3.9
R - Insula 40 0 -8 3.9
L - Amygdala -20 -2 -20 3.9
L -Central opercolar cortex -62 -20 10 3.9
L - Cerebellum -12 -66 -28 3.8
L - Frontal pole BA 10 -38 40 26 3.8
L -Superior parietal lobule BA7 -30 -48 48 3.6
RVM 4 -34 -50 3.6
Fig. 2. Statistical maps of brain regions of increased functional resting state connectivity with the
PAG in 20 bromyalgia patients compared to 15 age and gender matched healthy controls. Statistical
threshold corresponded to Z>2 and a correct cluster signicance of p<0.05.
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bnormal resting state in patients with bromyalgia ruini et al
patients with bromyalgia probably
plays a direct pathophysiological role in
this disease. Another limitation is that
insofar as our study focuses only on
PAG functional connectivity, we cannot
provide information whether bromy-
algia also involves peripheral nocicep-
tive nerve bres. A recent study using
pain-related evoked potentials and skin
biopsy demonstrated distally distrib-
uted peripheral nervous system dam-
age, selectively involving nociceptive
Aδ- and C-bres (30). Although the pe-
ripheral nerve damage in patients with
bromyalgia still deserves conrma-
tory studies, we hypothesise that bro-
myalgia might be associated with mul-
tiple abnormalities involving both the
central and peripheral nervous system
(31). Further studies investigating both
peripheral and central nervous systems
should therefore verify whether distally
distributed peripheral nervous system
damage and central nervous system ab-
normalities coexist in the same patient.
Our study showing an abnormally un-
balanced PAG functional connectivity
might indicate that in patients with FM
pain is provoked by an impaired de-
scending pain inhibition. The abnormal
PAG functional connectivity correlates
with clinical variables, including the
depressive trait. These ndings lend
strong support to the use of antidepres-
sants in patients with FM, given that an-
tidepressants balance descending mod-
ulatory system and improve depression.
References
1. BUSKILA D, ATZENI F, SARZI-PUTTINI P:
Etiology of bromyalgia: the possible role
of infection and vaccination. Autoimmun Rev
2008; 8: 41-3.
2. TALOTTA R, ATZENI F, BAZZICHI L et al.:
Algo-dysfunctional syndromes: a critical di-
gest of the recent literature. Clin Exp Rheu-
matol 2015; 33 (Suppl. 88): S102-8.
3. ZAMUNÉR AR, BARBIC F, DIPAOLA F et al.:
Relationship between sympathetic activity
and pain intensity in bromyalgia. Clin Exp
Rheumatol 2015; 33 (Suppl. 88): S53-7.
4. GRACELY RH, SCHWEINHARDT P: Key
mechanisms mediating bromyalgia. Clin
Exp Rheumatol 2015; 33 (Suppl. 88): S3-6.
5. SEGURA-JIMENEZ V, APARICIO VA, ALVA-
REZ-GALLARDO IC et al.: Does body com-
position differ between bromyalgia patients
and controls? The al-Ándalus project. Clin
Exp Rheumatol 2015; 33 (Suppl. 88): S25-32.
6. GÓMEZ-PERRETTA C, TRIÑANES Y, GONZÁ-
LEZ-VILLAR AJ, CARRILLO-DE-LA-PEÑA MT:
Evaluation of the accuracy of several symp-
toms and domains in distinguishing patients
diagnosed with bromyalgia from healthy
controls. Clin Exp Rheumatol 2016; 34 (Sup-
pl. 96): S14-25.
7. GIACOMELLI C, SERNISSI F, SARZI-PUTTINI
P, DI FRANCO M, ATZENI F, BAZZICHI L: Fi-
bromyalgia: a critical digest of the recent lit-
erature. Clin Exp Rheumatol 2013; 31 (Suppl.
79): S153-7.
8. PUJOL J, MACIÀ D, GARCIA-FONTANALS A et
al.: The contribution of sensory system func-
tional connectivity reduction to clinical pain
in bromyalgia. Pain 2014; 155: 1492-503.
9. TRUINI A, GERARDI MC, DI STEFANO G et
al.: Hyperexcitability in pain matrices in pa-
tients with bromyalgia. Clin Exp Rheumatol
2015; 33 (Suppl. 88): S68-72.
10. HEMINGTON KS, COULOMBE MA: The peri-
aqueductal gray and descending pain modu-
lation: why should we study them and what
role do they play in chronic pain? J Neuro-
physiol 2015; 114: 2080-3.
11. LA CESA S, TINELLI E, TOSCHI N et al.: fMRI
pain activation in the periaqueductal gray in
healthy volunteers during the cold pressor
test. Magn Reson Imaging 2014; 32: 236-40.
12. SCHMIDT-WILCKE T: Neuroimaging of
chronic pain. Best Pract Res Clin Rheumatol
2015; 29: 29-41.
13. WOLFE F, SMYTHE HA, YUNUS MB et al.: The
American College of Rheumatology 1990
criteria for the classication of bromyalgia:
report of the Multicenter Criteria Committee.
Arthritis Rheum 1990; 33: 160-72.
14. WOLFE F, CLAUW DJ, FITZCHARLES MA et
al.: The American College of Rheumatology
preliminary diagnostic criteria for bromyal-
gia and measurement of symptom severity. Ar-
thritis Care Res (Hoboken) 2010; 62: 600-10.
15. SALAFFI F, SARZI-PUTTINI P: Old and new
criteria for the classication and diagnosis of
bromyalgia: comparison and evaluation. Clin
Exp Rheumatol 2012; 30 (Suppl. 74): S3-9.
16. ABLIN JN, GUREVITZ I, COHEN H, BUSKILA
D: Sexual dysfunction is correlated with ten-
derness in female bromyalgia patients. Clin
Exp Rheumatol 2011; 29 (Suppl. 69): S44-8.
17. IANNUCCELLI C, SPINELLI FR, GUZZO MP et
al.: Fatigue and widespread pain in systemic
lupus erythematosus and Sjögren’s syndrome:
symptoms of the inammatory disease or as-
sociated bromyalgia? Clin Exp Rheumatol
2012; 30 (Suppl. 74): S117-21.
18. SALAFFI F, SARZI-PUTTINI P, CIAPETTI A,
ATZENI F: Assessment instruments for pa-
tients with bromyalgia: properties, applica-
tions and interpretation. Clin Exp Rheumatol
2009; 27 (Suppl 56): S92-105.
19. STAUD R: Brain imaging in bromyalgia syn-
drome. Clin Exp Rheumatol 2011; 29 (Suppl.
69): S109-17.
20. MAZZOLA L, ISNARD J, PEYRON R, MAUGU-
IERE F: Stimulation of the human cortex and
the experience of pain: Wilder Peneld’s ob-
servations revisited. Brain 2012; 135: 631-40.
21. MILLAN MJ: Descending control of pain.
Prog Neurobiol 2002; 66: 355-47.
22. MAINERO C, BOSHYAN J, HADJIKHANI N:
Altered functional magnetic resonance im-
aging resting-state connectivity in periaque-
ductal gray networks in migraine. Ann Neurol
2011; 70: 838-45.
23. LINNMAN C, MOULTON EA, BARMETTLER
G, BECERRA L, BORSOOK D: Neuroimaging
of the periaqueductal gray: state of the eld.
Neuroimage 2012; 60: 505-22.
24. CIFRE I, SITGES C, FRAIMAN D et al.: Dis-
rupted functional connectivity of the pain net-
work in bromyalgia. Psychosom Med 2012;
74: 55-62
25. MASON P: Deconstructing endogenous pain
modulations. J Neurophysiol 2005; 94: 1659-
63.
26. NAPADOW V, LACOUNT L, PARK K, AS-SA-
NIE S, CLAUW DJ, HARRIS RE: Intrinsic brain
connectivity in bromyalgia is associated
with chronic pain intensity. Arthritis Rheum
2010; 62: 2545-55.
27. CONVERSANO C, LENSI E, BAZZICHI L,
SERNISSI F, DELL’OSSO L: How important are
the psychological aspects in bromyalgic syn-
drome? Clin Exp Rheumatol 2010; 28 (Suppl.
63): S3-6.
28. ALOK R, DAS SK, AGARWAL GG, SALWAHAN
L, SRIVASTAVA R: Relationship of severity of
depression, anxiety and stress with severity of
bromyalgia. Clin Exp Rheumatol 2011; 29:
S70-2.
29. VELTRI A, SCARPELLINI P, PICCINNI A et
al.: Methodological approach to depressive
symptoms in bromyalgia patients. Clin Exp
Rheumatol 2012; 30 (Suppl. 74): S136-42.
30. ÜÇEYLER N, SOMMER C: Objective evidence
that small-ber polyneuropathy underlies
some illnesses currently labeled as bromy-
algia. Pain 2013; 154: 2569.
31. TRUINI A, GARCIA-LARREA L, CRUCCU G:
Reappraising neuropathic pain in humans-
-how symptoms help disclose mechanisms.
Nat Rev Neurol 2013; 9: 572-82.
Table III. Brain areas with increased connectivity with the PAG during resting state in 20
bromyalgia patients compared to 15 control subjects.
MNI
coordinates
x y z Z max
Caudate -4 12 2 2.6
R - Insula 44 10 -4 2.5
L - Insula -42 4 -4 2.5
R - Frontal pole BA 10 36 48 28 2.4
L - Amygdala -24 0 -26 2.3
L - Central opercolar cortex -54 -12 10 2.3
ACC 2 10 32 2.2
L - Frontal pole BA 10 -36 48 24 2.2
R - Amygdala 16 -2 -18 2.2